Graphical Models - Methods for Data Analysis and Mining 2e

Borgelt

ISBN 10: 047072210X / ISBN 13: 9780470722107

Edité par John Wiley and Sons Ltd, 2009

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N° de réf. du vendeur 9780470722107

Détails bibliographiques

Titre : Graphical Models - Methods for Data Analysis...

Éditeur : John Wiley and Sons Ltd

Date d'édition : 2009

Reliure : Couverture rigide

Etat : Usado - bueno

Edition : 2ème Édition

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Synopsis :

Graphical Models Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic concepts carefully explained and illustrated by examples throughout Contains background material including graphical representation, including Markov and Bayesian Networks. Includes a comprehensive bibliography. Full description

Quatrième de couverture:

The use of graphical models in applied statistics has increasedconsiderably in recent years. At the same time the field of datamining has developed as a response to the large amounts ofavailable data. This book addresses the overlap between these twoimportant areas, highlighting the advantages of using graphicalmodels for data analysis and mining. The Authors focus not only onprobabilistic models such as Bayesian and Markov networks but alsoexplore relational and possibilistic graphical models in order toanalyse data sets.

• Presents all necessary background material includinguncertainty and imprecision modeling, distribution decompositionand graphical representation.
• Covers Markov, Bayesian, relational and possibilisticnetworks.
• Includes a new chapter on visualization and coverage of cliquetree propagation, visualization techniques.
• Demonstrates learning algorithms based on a large number ofdifferent search methods and evaluation measures.
• Includes a comprehensive bibliography and a detailedindex.
• Features an accompanying website hosting exercises, teachingmaterial and open source software.

Researchers and practitioners who use graphical models in theirwork, graduate students of applied statistics, computer science andengineering will find much of interest in this new edition.